The idea for AIAAF is to meet with other researchers, manufacturers, architects, engineers to showcase the works, discuss the existing research problems and potentially form some partnerships. While we do keep the event open to the public and advertise it, we intend to keep the talks technical and academia-oriented. The name may suggest a very narrow niche for the speakers, but we consider AIAAF a premise of the future - a wide spectrum of topics will be covered.
Â
AIAAF is a platform established to:
• Showcase the projects which are using fabrication aided by AI
• Discuss outstanding robotic fabrication projects
• Get familiar with the cutting edge simulation, modeling and AI methods
• Find out new areas of collaboration between the AI and Fab disciplines
This year we are running a parallel workshop on reinforcement learning and Unity, tutored by Chien-hua Huang. To register click here.
Gabriella Rossi is a PhD Fellow at CITA, Royal Danish Academy. Her research focuses on Machine Learning as an emerging modelling paradigm, and how it can change architectural practice. Specific accent is placed on architectural datasets, harvested or simulated, and potential applications for complex material behaviour and design performance.
Nathan Miller manages a digital design agency that implements data-driven solutions to for architects, engineers, builders, and owners. Nathan and his team have authored numerous free and commercial digital tools widely used by professionals to support data visualization, machine learning, and interoperability.
Architect and a researcher in the field of robotic fabrication focusing on collaborative work processes between humans and machines. Currently, she is a PhD researcher at the TT Professorship Digital Fabrication (Augmented Fabrication Lab), a research group based at the Faculty of Architecture and associated with the Faculty of Civil, Geo and Environmental Engineering at TU Munich.
Architect and technology enthusiast. He is doing Ph.D. research as well as teaching a course for Digital Design Methods at the faculty of Architecture. He is a winner of several academic competitions in both fields of architecture and programming. His particular interest lies in an efficient merging of technology with art in architecture and design. This also includes using advanced approaches such as AI/ML.
Â
Architectural designer and design researcher based in Taipei and Vienna. His latest research focuses on data-mining, machine learning, and participatory approaches in design and construction. He has been continuously working on intelligent interactive mechanisms in design tools for future emergent environments and resilience.Â
Jan Pernecky of Subdigital
Ján Pernecký graduated from Slovak University of Technology (Slovakia / 2007), Academy of Fine arts and Design (Slovakia / 2008), Studied at Die Angewandte / Excessive III (Austria / Hernan Diaz Alonso, Steven Ma / 2011). Currently a PhD. candidate at UMPRUM (Prague / Imro Vasko / 2019)
Â
Â
Â
Â
Â
Â